Awesome Text-to-Image

Key papers

• InterleaveThinker: Reinforcing Agentic Interleaved Generation (2026)
  Dian Zheng et al.
  14.38
• Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis (2025)
  Bingxin Ke et al.
  10.47
• Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models (2025)
  Jinjin Zhang et al.
  10.03
• Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection (2025)
  Shufan Li et al.
  9.29
• RepFusion: Leveraging Multimodal Priors for Denoising in Representation Space (2026)
  Xichen Pan et al.
  8.86
• Qwen-Image-Flash: Beyond Objective Design (2026)
  Tianhe Wu et al.
  8.85
• Learning Few-Step Diffusion Models by Trajectory Distribution Matching (2025)
  Yihong Luo et al.
  8.84
• DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models (2023)
  Ximing Xing et al.
  8.82
• One-step Diffusion Models with $f$-Divergence Distribution Matching (2025)
  Yilun Xu et al.
  8.70
• A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images (2025)
  Zineb Sordo and Eric Chagnon and Daniela Ushizima
  7.64
• CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer (2024)
  Zhuoyi Yang et al.
  7.30
• Deeply Supervised Flow-Based Generative Models (2025)
  Inkyu Shin et al.
  7.24
• On the Challenges and Opportunities in Generative AI (2024)
  Laura Manduchi et al.
  6.89
• Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation (2023)
  David Junhao Zhang et al.
  6.55
• Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation (2024)
  Hongxu Jiang et al.
  5.40
• A Wavelet Diffusion GAN for Image Super-Resolution (2024)
  Lorenzo Aloisi and Luigi Sigillo and Aurelio Uncini and Danilo Comminiello
  5.37
• GenDR: Lighten Generative Detail Restoration (2025)
  Yan Wang et al.
  4.87
• Generating Multimodal Images with GAN: Integrating Text, Image, and Style (2025)
  Chaoyi Tan et al.
  4.76
• SINE: SINgle Image Editing with Text-to-Image Diffusion Models (2022)
  Zhixing Zhang et al.
  4.48
• PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach (2025)
  Nitin Rai et al.
  4.47
• MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation (2025)
  Mingcheng Li et al.
  4.47
• Image-to-Image Translation with Diffusion Transformers and CLIP-Based Image Conditioning (2025)
  Qiang Zhu et al.
  4.47
• Nepotistically Trained Generative-AI Models Collapse (2023)
  Matyas Bohacek and Hany Farid
  4.40
• Compressing Image Style Training into a Single Model Forward (2026)
  Zhongjie Duan et al.
  4.39
• Mask, Sample, Revise: A Revisable CTMC Inference Stack for Guided Discrete Flow Matching Text-to-Speech (2026)
  Alef Iury Siqueira Ferreira et al.
  4.39
• GarmentSketch: Large-scale Sketch-to-Fashion Benchmark (2026)
  Duong-Duy-Khang Bui et al.
  4.39
• Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention (2026)
  Dinh-Khoi Vo et al.
  4.39
• Rethinking One-Step Image Editing through ChordEdit: Reproduction, Simplification, and New Insights (2026)
  Minghan Li et al.
  4.39
• Context-aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs (2026)
  Sirui Zhang et al.
  4.39
• ForceForget: Reinforcement Concept Removal for Enhancing Safety in Text-to-Image Models (2026)
  Dong Han et al.
  4.39
• HPSv3++: Scaling Reward Models Across the Full Spectrum of Diffusion Model Capabilities (2026)
  Yijun Liu et al.
  4.39
• Diffusion-Based Ukrainian Handwritten Text Generation with Cross-Domain Style Transfer (2026)
  Andrii Ahitoliev et al.
  4.33
• StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text (2024)
  Roberto Henschel et al.
  4.21
• CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects (2024)
  Zhao Wang et al.
  4.10
• ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion (2025)
  Sungho Koh et al.
  4.09
• Seeing It Before It Happens: In-Generation NSFW Detection for Diffusion-Based Text-to-Image Models (2025)
  Fan Yang et al.
  3.97
• StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization (2025)
  Gopalji Gaur et al.
  3.97
• TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting (2025)
  Liangbin Xie et al.
  3.75
• DP-LDMs: Differentially Private Latent Diffusion Models (2023)
  Michael F. Liu et al.
  3.71
• Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation (2025)
  Zahra TehraniNasab et al.
  3.70
• Tutorial on Diffusion Models for Imaging and Vision (2024)
  Stanley H. Chan
  3.69
• Diffusion Models Through a Global Lens: Are They Culturally Inclusive? (2025)
  Zahra Bayramli et al.
  3.64
• Face-MakeUp: Multimodal Facial Prompts for Text-to-Image Generation (2025)
  Dawei Dai et al.
  3.59
• Structural Energy Guidance for View-Consistent Text-to-3D Generation (2026)
  Qing Zhang et al.
  3.45
• Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models (2024)
  Sooyeon Go and Kyungmook Choi and Minjung Shin and Youngjung Uh
  3.20
• Home-made Diffusion Model from Scratch to Hatch (2025)
  Shih-Ying Yeh
  3.17
• DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval (2025)
  Ruohong Yang et al.
  3.10
• Faster Diffusion via Temporal Attention Decomposition (2024)
  Haozhe Liu et al.
  3.09
• Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model (2024)
  Yuxuan Zhang et al.
  3.03
• PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples (2025)
  Junyu Liu et al.
  2.93
• ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models (2025)
  Ozgur Kara et al.
  2.87
• Stable Diffusion for Data Augmentation in COCO and Weed Datasets (2023)
  Boyang Deng
  2.86
• DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation (2025)
  Chen Chen et al.
  2.76
• Contrastive Learning Guided Latent Diffusion Model for Image-to-Image Translation (2025)
  Qi Si et al.
  2.76
• Enhancing Creative Generation on Stable Diffusion-based Models (2025)
  Jiyeon Han et al.
  2.76
• A Diffusion Model Translator for Efficient Image-to-Image Translation (2025)
  Mengfei Xia and Yu Zhou and Ran Yi and Yong-Jin Liu and Wenping Wang
  2.71
• CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models (2025)
  Xinle Cheng et al.
  2.71
• StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models (2025)
  Zichong Chen et al.
  2.71
• DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models (2025)
  Daewon Chae et al.
  2.71
• PQD: Post-training Quantization for Efficient Diffusion Models (2025)
  Jiaojiao Ye et al.
  2.65